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            <h1><a href="index.html">プライマー EZ 実験</a></h1>
<p><a href="index.html">これは、プライマーEZトランスフォーマーをトレーニングするための注釈付きのPyTorch実験です。</a></p>
<p><a href="../basic/experiment.html">これは私たちのバニラトランスフォーマー実験に基づいています</a>。同じ実験を行い、Primer EZの修正を加えます</p>。

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">15</span><span></span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">experiment</span>
<span class="lineno">16</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">option</span>
<span class="lineno">17</span><span class="kn">from</span> <span class="nn">labml_nn.transformers</span> <span class="kn">import</span> <span class="n">TransformerConfigs</span>
<span class="lineno">18</span><span class="kn">from</span> <span class="nn">labml_nn.transformers.basic.autoregressive_experiment</span> <span class="kn">import</span> <span class="n">Configs</span>
<span class="lineno">19</span><span class="kn">from</span> <span class="nn">labml_nn.transformers.configs</span> <span class="kn">import</span> <span class="n">FeedForwardConfigs</span>
<span class="lineno">20</span><span class="kn">from</span> <span class="nn">labml_nn.transformers.primer_ez</span> <span class="kn">import</span> <span class="n">SquaredReLU</span></pre></div>
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    </div>
    <div class='section' id='section-1'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-1'>#</a>
            </div>
            <p><a href="index.html"><strong>Squared ReLU</strong></a> <a href="https://docs.labml.ai/api/configs.html#labml.configs.option"><a href="../configs.html#FFN"><a href="../feed_forward.html">のオプションを設定可能なフィードフォワードモジュールに追加しました</a></a></a>。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">23</span><span class="nd">@option</span><span class="p">(</span><span class="n">FeedForwardConfigs</span><span class="o">.</span><span class="n">activation</span><span class="p">,</span> <span class="s1">&#39;SquaredReLU&#39;</span><span class="p">)</span>
<span class="lineno">24</span><span class="k">def</span> <span class="nf">_squared_relu</span><span class="p">():</span></pre></div>
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                <a href='#section-2'>#</a>
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            <div class="highlight"><pre><span class="lineno">30</span>    <span class="k">return</span> <span class="n">SquaredReLU</span><span class="p">()</span></pre></div>
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    <div class='section' id='section-3'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-3'>#</a>
            </div>
            <p><a href="https://docs.labml.ai/api/configs.html#labml.configs.option"><a href="index.html"><strong><a href="../configs.html#TransformerConfigs">設定可能なトランスフォーマーにマルチDCONVヘッドアテンションのオプションを追加</a></strong></a></a></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">33</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">encoder_attn</span><span class="p">,</span> <span class="s1">&#39;MultiDConvHeadAttention&#39;</span><span class="p">)</span>
<span class="lineno">34</span><span class="k">def</span> <span class="nf">_d_conv_mha</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</span><span class="p">):</span></pre></div>
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        <div class='docs'>
            <div class='section-link'>
                <a href='#section-4'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">40</span>    <span class="kn">from</span> <span class="nn">labml_nn.transformers.primer_ez</span> <span class="kn">import</span> <span class="n">MultiDConvHeadAttention</span>
<span class="lineno">41</span>    <span class="k">return</span> <span class="n">MultiDConvHeadAttention</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">n_heads</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span> <span class="n">dropout_prob</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">dropout</span><span class="p">)</span></pre></div>
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        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            <p><a href="https://docs.labml.ai/api/configs.html#labml.configs.option"><a href="variations.html"><strong><a href="../configs.html#TransformerConfigs">設定可能なトランスフォーマーにマルチデプスワイズシェアードコンバージョンヘッドアテンションのオプションを追加</a></strong></a></a></p>
<p>📝 <em>これは私たちが試したバリエーションです</em></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">44</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">encoder_attn</span><span class="p">,</span> <span class="s1">&#39;MultiDSharedConvHeadAttention&#39;</span><span class="p">)</span>
<span class="lineno">45</span><span class="k">def</span> <span class="nf">_d_shared_conv_mha</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</span><span class="p">):</span></pre></div>
        </div>
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            <div class='section-link'>
                <a href='#section-6'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">53</span>    <span class="kn">from</span> <span class="nn">labml_nn.transformers.primer_ez.variations</span> <span class="kn">import</span> <span class="n">MultiDSharedConvHeadAttention</span>
<span class="lineno">54</span>    <span class="k">return</span> <span class="n">MultiDSharedConvHeadAttention</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">n_heads</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span> <span class="n">dropout_prob</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">dropout</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            <p><a href="../configs.html#TransformerConfigs">設定可能なトランスフォーマーに、<a href="https://docs.labml.ai/api/configs.html#labml.configs.option"><a href="variation.html"><strong>ヘッドごとのマルチ奥行き変換ヘッドアテンションのオプションを追加</strong></a></a></a></p>
<p>📝 <em>これは私たちが試したバリエーションです</em></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">57</span><span class="nd">@option</span><span class="p">(</span><span class="n">TransformerConfigs</span><span class="o">.</span><span class="n">encoder_attn</span><span class="p">,</span> <span class="s1">&#39;MultiDPHConvHeadAttention&#39;</span><span class="p">)</span>
<span class="lineno">58</span><span class="k">def</span> <span class="nf">_d_per_head_conv_mha</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TransformerConfigs</span><span class="p">):</span></pre></div>
        </div>
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    <div class='section' id='section-8'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">66</span>    <span class="kn">from</span> <span class="nn">labml_nn.transformers.primer_ez.variations</span> <span class="kn">import</span> <span class="n">MultiDPHConvHeadAttention</span>
<span class="lineno">67</span>    <span class="k">return</span> <span class="n">MultiDPHConvHeadAttention</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">n_heads</span><span class="p">,</span> <span class="n">c</span><span class="o">.</span><span class="n">d_model</span><span class="p">,</span> <span class="n">dropout_prob</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">dropout</span><span class="p">)</span></pre></div>
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            <div class='section-link'>
                <a href='#section-9'>#</a>
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        <div class='code'>
            <div class="highlight"><pre><span class="lineno">70</span><span class="k">def</span> <span class="nf">main</span><span class="p">():</span></pre></div>
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            <p>実験を作成</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">72</span>    <span class="n">experiment</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">&quot;primer_ez&quot;</span><span class="p">)</span></pre></div>
        </div>
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            <p>コンフィグの作成</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">74</span>    <span class="n">conf</span> <span class="o">=</span> <span class="n">Configs</span><span class="p">()</span></pre></div>
        </div>
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            <p>オーバーライド設定</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">76</span>    <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span> <span class="p">{</span></pre></div>
        </div>
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            <p>キャラクターレベルのトークナイザーを使う</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">78</span>        <span class="s1">&#39;tokenizer&#39;</span><span class="p">:</span> <span class="s1">&#39;character&#39;</span><span class="p">,</span></pre></div>
        </div>
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            <p>プロンプトセパレータが空白</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">80</span>        <span class="s1">&#39;prompt_separator&#39;</span><span class="p">:</span> <span class="s1">&#39;&#39;</span><span class="p">,</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-15'>
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            <p>サンプリングの開始プロンプト</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">82</span>        <span class="s1">&#39;prompt&#39;</span><span class="p">:</span> <span class="s1">&#39;It is &#39;</span><span class="p">,</span></pre></div>
        </div>
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            <p>タイニー・シェイクスピア・データセットを使う</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">84</span>        <span class="s1">&#39;text&#39;</span><span class="p">:</span> <span class="s1">&#39;tiny_shakespeare&#39;</span><span class="p">,</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-17'>
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            <p>コンテキストサイズを次の値にしてください <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">256</span></span></span></span></span></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">87</span>        <span class="s1">&#39;seq_len&#39;</span><span class="p">:</span> <span class="mi">256</span><span class="p">,</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-18'>
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            <p><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">128</span></span></span></span></span>時代に合わせた列車</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">89</span>        <span class="s1">&#39;epochs&#39;</span><span class="p">:</span> <span class="mi">128</span><span class="p">,</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-19'>
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            <p>バッチサイズ <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">32</span></span></span></span></span></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">91</span>        <span class="s1">&#39;batch_size&#39;</span><span class="p">:</span> <span class="mi">32</span><span class="p">,</span></pre></div>
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    <div class='section' id='section-20'>
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            <div class='section-link'>
                <a href='#section-20'>#</a>
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            <p>エポックごとにトレーニングと検証を切り替える <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">10</span></span></span></span></span></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">94</span>        <span class="s1">&#39;inner_iterations&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span></pre></div>
        </div>
    </div>
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            <p>モデルサイズ</p>

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        <div class='code'>
            <div class="highlight"><pre><span class="lineno">97</span>        <span class="s1">&#39;d_model&#39;</span><span class="p">:</span> <span class="mi">512</span><span class="p">,</span>
<span class="lineno">98</span>        <span class="s1">&#39;transformer.ffn.d_ff&#39;</span><span class="p">:</span> <span class="mi">2048</span><span class="p">,</span></pre></div>
        </div>
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    <div class='section' id='section-22'>
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            <p>Adam オプティマイザーを使う</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">101</span>        <span class="s1">&#39;optimizer.optimizer&#39;</span><span class="p">:</span> <span class="s1">&#39;Adam&#39;</span><span class="p">,</span>
<span class="lineno">102</span>        <span class="s1">&#39;optimizer.learning_rate&#39;</span><span class="p">:</span> <span class="mf">2.5e-4</span><span class="p">,</span></pre></div>
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    <div class='section' id='section-23'>
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            <p>⭐️ <a href="index.html"><strong>フィードフォワードネットワークでは二乗ReLUアクティベーションを使用してください</strong></a>。</p>
<p><em>これを <code  class="highlight"><span></span><span class="n">ReLU</span></code>
 for に置き換えてください<span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.68333em;vertical-align:0em;"></span><span class="mord mathnormal" style="margin-right:0.00773em;">R</span><span class="mord mathnormal">e</span><span class="mord mathnormal" style="margin-right:0.10903em;">LU</span></span></span></span></span>。</em></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">107</span>        <span class="s1">&#39;transformer.ffn.activation&#39;</span><span class="p">:</span> <span class="s1">&#39;SquaredReLU&#39;</span><span class="p">,</span></pre></div>
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                <a href='#section-24'>#</a>
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            <p>⭐️ <a href="index.html"><strong>エンコーダアテンションにはマルチコンバーションヘッドアテンションを使用してください</strong></a>。</p>
<p><em><code  class="highlight"><span></span><span class="n">mha</span></code>
これをオリジナルのマルチヘッドアテンション用と交換してください。</em></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">112</span>        <span class="s1">&#39;transformer.encoder_attn&#39;</span><span class="p">:</span> <span class="s1">&#39;MultiDConvHeadAttention&#39;</span><span class="p">,</span>
<span class="lineno">113</span>    <span class="p">})</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-25'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-25'>#</a>
            </div>
            <p>保存および読み込み用のモデルを設定する</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">116</span>    <span class="n">experiment</span><span class="o">.</span><span class="n">add_pytorch_models</span><span class="p">({</span><span class="s1">&#39;model&#39;</span><span class="p">:</span> <span class="n">conf</span><span class="o">.</span><span class="n">model</span><span class="p">})</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-26'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-26'>#</a>
            </div>
            <p>実験を始める</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">119</span>    <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-27'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-27'>#</a>
            </div>
            <p>トレーニングを実行</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">121</span>        <span class="n">conf</span><span class="o">.</span><span class="n">run</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-28'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-28'>#</a>
            </div>
            <p></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">125</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
<span class="lineno">126</span>    <span class="n">main</span><span class="p">()</span></pre></div>
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